OVERVIEW
The B.Tech. Computer Science and Engineering (Cloud Computing) is a four-year undergraduate programme designed to equip students with the knowledge and skills required to design, implement, and manage scalable, secure, and efficient cloud-based solutions. This interdisciplinary programme blends computer science, networking, cybersecurity, and software engineering, enabling students to master key cloud technologies, including virtualisation, distributed computing, cloud security, and DevOps. Overall, the programme aims to prepare students for a career in the rapidly evolving field of cloud computing and virtualisation technology, where they can apply their knowledge and skills to solve real-world problems.
Programme Highlights
Empowering Businesses
through Cloud Computing
Over four years, students gain expertise in cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), learning how to architect cloud solutions, optimise infrastructure, and ensure data security in a cloud-native environment. The curriculum emphasises modern technologies like containerisation (Docker, Kubernetes), serverless computing, cloud automation, edge computing, and cloud-based AI/ML integration, along with hands-on training in cloud deployment and management.
Programme Structure
- Engineering Mathematics - I
- Engineering Physics / Engineering Chemistry
- Engineering Drawing & Workshop / Digital Logic Design
- Programming for Problem Solving (with Python)
- Computational Tools and Career Foundations
- Value-Added Course
Environmental Studies & Disaster Management
- Principles of Innovation and Entrepreneurial Thinking
- Discrete Mathematics
- Data Structures Using C++
- Object-Oriented Programming with Java
- Specialization Course-I
- Cloud Computing Essentials and Fundamentals
- Open Elective
- Value Added Course
- Verbal Ability
- Summer Internship-I
- Competitive Coding - I
- Community Service
- Analysis and Design of Algorithms
- Introduction to Database Management Systems
- Specialization Course-II
- AI Fundamentals for Cloud Platforms
- Discipline Specific Elective-I
- Open Elective
- Communication & Personality Development
- Minor Project-II
- Competitive Coding - II
- Club/Society
- Theory of Computation
- Operating Systems
- Specialization Course-III
- Data Fundamentals in Cloud Computing
- Specialization Course-IV
- Implementing Data Solutions on Cloud Platforms
- Nand to Tetris
- Arithmetic and Reasoning Skills
- Summer Internship-II
- Competitive Coding - III
- Microprocessors and Computer Architecture
- Discipline Specific Elective-II
- Computer Networks
- Specialization Course- V
- Data Engineering for Cloud Platforms
- Specialization Course- VI
- Designing and Implementing AI Solutions
- Minor Project-III
- Competitive Coding - IV
- MOOC (Swayam/ NPTEL/AICTE’s ELIS )
Specialization Course- VII
- DevOps Engineering and Automation
Discipline Specific Elective-III
Discipline Specific Elective-IV
Research Tools for Data Analysis and Visualization
Summer Internship-III
Applied Programming and Problem-Solving Skills for Campus Interviews
Industry/Research Internship (Full Semester)
Major Project (Industry Track/Research Track)
Connecting Talent to Dream Careers
K.R. Mangalam University has collaborated with various top industry giants like Infosys, Wipro, TCS, Accenture, Genpact, etc., offering students a platform to secure good internships and placements. Graduates embark on rewarding careers in various roles, reflecting the university’s commitment to producing industry-ready professionals who excel in the competitive global market.
Career Options
Programme Outcomes
Core Competencies in Engineering:
Graduates will possess a strong foundation in engineering knowledge, critical problem analysis, and solution design, equipped with skills for conducting thorough investigations to solve complex challenges.
01
Modern tool usage:
Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
02
Societal and Environmental Responsibility:
Apply contextual knowledge to evaluate societal, health, safety, legal, and cultural issues, while understanding the impact of engineering solutions on the environment and advocating for sustainable development.
03
Ethics:
Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
04
Effective Communication and Team Collaboration:
Excel in both individual and team roles within diverse and multidisciplinary settings, while communicating complex engineering concepts clearly through effective reports, presentations, and interactions.
05
Project Management:
Apply engineering and management principles to lead and manage projects effectively in computer science and engineering contexts.
06
Life-long Learning:
Embrace and actively pursue continuous learning to stay current with technological advancements and evolving practices in computer science and engineering.
07
Core Expertise
Focus on cloud computing, AI integration, data engineering, and DevOps.
01
Strong Foundation
Covers computer science fundamentals, networking, operating systems, and microprocessors.
02
Advanced Skill Development
Training in Microsoft Azure, cloud architecture, cloud security, serverless computing, and AI-driven automation.
03
Hands-on Learning
Real-world projects, industry internships, minor and major projects, and MOOC certifications.
04
Career Readiness
Prepares students for roles in cloud architecture, DevOps engineering, cloud security, and AI-driven cloud solutions.
05
Industry Collaborations
Partnerships with top tech firms for practical exposure.
06
Global Certifications
Enhances employability in leading tech firms and research organisations.
07
Apply hands-on cloud computing skills to meet industry demands in cloud infrastructure, DevOps, and AI-driven cloud solutions.
01
Gain expertise in cloud security, automation, virtualisation, and containerization, essential for modern cloud platforms.
02
Be equipped to work with leading tech firms, research organisations, and cloud service providers in various roles such as Cloud Architect, DevOps Engineer, and Cloud Security Analyst.
03
Financial Assistance
K.R. Mangalam University partnered with the leading banks to help you to finance your dream course through Education Loan. You only have to start repaying one year after finishing your course or six months after you get a job.
Sponsored
MBA Degree
100% Sponsored MBA for Outstanding Undergraduates
KRMU takes pride in nurturing the leaders of tomorrow. To honor and encourage academic excellence, we offer a distinctive sponsorship scheme: Exceptional undergraduates have the opportunity to pursue an MBA at KRMU with 100% sponsorship. This initiative is our commitment to investing in the bright minds that have demonstrated remarkable academic achievements during their undergraduate studies.
Embark on an MBA journey without financial constraints and unlock your full potential. At KRMU, we provide more than just an education; we offer a pathway to excellence and success in the business world. Seize this opportunity to transform your academic prowess into a thriving career.
Frequently Asked Questions
Commence Your Journey
in 6 Simple Steps
Complete payment and submit
Pay the required Application Fee
Take an entrance test
K.R. Mangalam University Entrance Examination (KREE)
Appear for interaction
Attend our Faculty-Led Interview.
Get the admission offer
You will receive the offer letter after the successful interaction
Get Enroled
Be prepared to embark on your journey